Sivylla Paraskevopoulou

Last seen: 1 jour il y a | Actif depuis 2017

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How to Design Transformer Model for Time-Series Forecasting
In this previous blog post, we explored the key aspects and benefits of transformer models, described how you can use...

9 jours il y a

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Transformer Models: From Hype to Implementation
In the world of deep learning, transformer models have generated a significant amount of buzz. They have dramatically...

22 jours il y a

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Introducing the Reduced Order Modeler App: How to Interactively Create AI-Based Reduced Order Models (ROMs)
The following blog post is from Melda Ulusoy, Principal Product Marketing Manager at MathWorks, and Kishen Mahadevan,...

environ un mois il y a

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MATLAB EXPO 2024: AI Innovation in Engineering Projects
MATLAB EXPO 2024 is back! Attend this online event that brings together engineers, scientists, and researchers from...

environ 2 mois il y a

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Apply AI with New R2024b Examples
In my last post, I talked about new AI features introduced with MATLAB R2024b - the latest release, which is now available...

environ 2 mois il y a

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R2024b: A Peek into New AI Features
MATLAB R2024b is the latest release and available for you to try. I am here to talk specifically about new AI features in...

2 mois il y a

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Embedded AI Integration with MATLAB and Simulink
Embedded AI, that is the integration of artificial intelligence and embedded systems, enables devices to process data and...

3 mois il y a

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Simulate PyTorch and Other Python-Based Models with Simulink Co-Execution Blocks
This blog post is from Maggie Oltarzewski, Product Marketing Engineer at MathWorks. In R2024a, four new blocks for...

3 mois il y a

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Automating Visual Inspection with AI and PLC
The following post is from Sagar Hukkire, application engineer for AI, and Conrado Ramirez Garcia, application engineer...

4 mois il y a

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Local LLMs with MATLAB
Local large language models (LLMs), such as llama, phi3, and mistral, are now available in the Large Language Models...

5 mois il y a

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Export Models from Machine Learning Apps to Simulink
In this blog post, I am going to show you the most interactive way to create a Simulink model that includes a machine...

5 mois il y a

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Explainability in Object Detection for MATLAB, TensorFlow, and PyTorch Models
In R2024a, Deep Learning Toolbox Verification Library introduced the d-rise function. D-RISE is an explainability tool...

5 mois il y a

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Building Confidence in AI with Constrained Deep Learning
Constrained deep learning is an advanced approach to training robust deep neural networks by incorporating constraints...

6 mois il y a

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Data Type Conversion Between MATLAB and Python: What’s New in R2024a
When combining MATLAB with Python® to create deep learning workflows, data type conversion between the two frameworks can...

6 mois il y a

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Verification and Validation for AI: From model implementation to requirements validation
The following post is from Lucas García, Product Manager for Deep Learning Toolbox. This is the fourth and final post...

7 mois il y a

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Convert Deep Learning Models between PyTorch, TensorFlow, and MATLAB
In this blog post we are going to show you how to use the newest MATLAB functions to: Import models from TensorFlow...

7 mois il y a

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Tips on Accelerating Deep Learning Training
Deep learning models are trained by using large sets of labeled data. Training a deep learning model can be...

8 mois il y a

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Deep Learning Toolbox R2024a: Major Update and New Examples
On March 20th, MATLAB R2024a was released with many updates for Deep Learning Toolbox. Exciting new features for deep...

8 mois il y a

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Incremental Learning: Adaptive and real-time machine learning
Incremental learning is a machine learning approach that addresses the challenge of adaptively fitting models to new...

9 mois il y a

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Data-Driven Control with MATLAB and Simulink
The following blog post is from Melda Ulusoy, Technical Marketing Manager at MathWorks. One of artificial intelligence...

9 mois il y a

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Verification and Validation for AI: Learning process verification
The following post is from Lucas García, Product Manager for Deep Learning Toolbox. This is the third post in a 4-post...

10 mois il y a

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Large Language Models with MATLAB
How to connect MATLAB to the OpenAI™ API to boost your NLP tasks. Have you heard of ChatGPT™, Generative AI, and...

10 mois il y a

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Lidar Code-Along
Lidar (light detection and ranging) is a remote sensing technology. Lidar sensors emit laser pulses that reflect off...

10 mois il y a

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NeurIPS Highlights
We are back from the NeurIPS 2023 conference. It was truly inspiring to engage with the AI community and learn more about...

11 mois il y a

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Podcast Alert: Deploying Edge and Embedded AI Systems
The following blog post is from Daniel Prieve, Digital Marketing Manager. Last month, Heather Gorr was interviewed for...

11 mois il y a

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MATLAB Is Coming to NeurIPS
NeurIPS 2023 is starting soon; this Sunday December 10th. I am very excited to join the conference along with other...

12 mois il y a

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Visual Inspection Code-Along
Visual inspection is the image-based inspection of parts where a camera scans the part under test for failures and quality...

12 mois il y a

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PyTorch Models and Git in MATLAB Online
The following post is from Yann Debray, Product Manager for MATLAB Online, and Sivylla Paraskevopoulou, Product Marketing...

environ un an il y a

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What’s New for Low-Code AI in MATLAB R2023b
With every MATLAB release, the low-code AI apps offer new features that make integrating AI into your workflow easier,...

environ un an il y a

Réponse apportée
How to import a pretrained deeplabv3+(xception-71 as backbone) model using MATLAB function importNetworkFromTensorFlow?
Hi Chen, you don't need to import the DeepLab v3+ model from TensorFlow. You can use the deeplabv3plusLayers function to create ...

environ un an il y a | 0

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Sivylla Paraskevopoulou

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3 Month Streak

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